Senior Decision Scientist (Lending)
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
We’re looking for a Senior Decision Scientist to lead the development of cutting-edge credit decisioning models across SME lending.
You’ll own the end-to-end model lifecycle, from problem framing through to deployment and monitoring, while working at the intersection of data and risk, to shape the future of our lending strategy.
The role offers the flexibility to work remotely for most of the week, with 2 days per week in our Central Birmingham office, working closely with our Data and risk teams. While we’re open to candidates across the UK, we’re looking for someone who values both the flexibility of remote working and the collaboration that comes from spending time together in the office.
What You’ll Do as Senior Decision Scientist
- Build and deploy ML and statistical models for credit risk, affordability, and pricing
- Own the full model lifecycle, including data, feature engineering, modelling, validation, deployment and monitoring
- Develop monitoring frameworks and performance dashboards
- Drive innovation through new data sources, challenger models and experimentation (A/B testing)
- Translate complex models into clear, actionable business insights
- Work closely with Data and Risk teams to influence lending strategy and decision-making
Requirements
- Strong experience in machine learning within lending (SME lending essential)
- Strong consumer lending experience
- Proficiency in Python and SQL
- Proven end-to-end model development experience
- Background in fintech and automated decisioning environments
- Solid understanding of UK credit risk and regulation
- Experience with model governance and monitoring frameworks
- Ability to communicate effectively with both technical and business stakeholders
- Strong commercial mindset and ownership attitude
Benefits & conditions
Why Join Lovey?
- Be part of a high-growth fintech shaping the future of SME lending
- Work on high-impact models used in real underwriting decisions
- Have a direct influence on our lending strategy and decisioning approach
- Collaborate with a talented, cross-functional Data and Risk team
- Join a company that truly values innovation, trust and people
About the company
Join One of the UK’s Fastest-Growing Finance Companies
Lovey (formerly Love Finance) is a fast-growing UK SME lender and broker, founded in 2016 by Jack Smith with a simple goal: to make business lending simple and fast.
Since then, we’ve funded more than £500 million in loans for over 10,000 SMEs across the UK. We’ve been recognised by organisations including EY, Deloitte, The Sunday Times, Financial Times, UK Growth Index, FeBe and Sifted as one of the UK’s fastest-growing companies.
By combining direct lending with brokerage services, Lovey provides businesses with fast, flexible and tailored funding solutions. With an industry-leading 5-star Trustpilot rating, customers can enquire in 60 seconds and, where appropriate, receive funding in as little as 4 hours.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production
Software Engineer Salary London
Best Companies to work for in London: Top 25 Companies in 2023
Data Engineer Salary UK